Evidence map›Paper›PMID 29764109›Full record

ArticleInternational journal of health policy and management2018

Knowledge Translation in Healthcare - Towards Understanding its True Complexities Comment on "Using Complexity and Network Concepts to Inform Healthcare Knowledge Translation".

Joachim P Sturmberg

Open access · diamondAbstract readComment
In one paragraph

Article in International journal of health policy and management, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
3.4field-weighted citation impact, top 7% of its field
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

6 citing papers in PubMed, 21 citations in OpenAlex.

  1. Who is "anti-science"?Public health in practice (Oxford, England) · 2024
    Article
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  3. Article
  4. There is More to 'Making Connections to Improve Health Outcomes'.Global advances in health and medicine · 2022
    Article
  5. Article
  6. Article
4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

1 author at 1 institution in 1 country.

Joachim P SturmbergUniversity of Newcastle, Callaghan, NSW, Australia.
University of Newcastle Australia · AU

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This commentary argues that to fully appreciate the complexities of knowledge transfer one firstly has to distinguish between the notions of "data, information, knowledge and wisdom," and that the latter two are highly context sensitive. In particular one has to understand knowledge as being personal rather than objective, and hence there is no form of knowledge that a-priori is more authoritative than another. Secondly, knowledge transfer in organisations can only be successful if the organisation is organised and managed as a "complex adaptive organisation" - its key characteristics arising from it's a-priori defined common "purpose, goals and values." Knowledge transfer, seen as "whole of system/organisation learning," is highly context sensitive; while the principles may apply to many organisations, knowledge as such is not transferable from one context to another, it always will be a unique learning exercise at this particular point in time in this particular organisation.

Indexed as

Delivery of Health CareTranslational Research, BiomedicalHumansLearningOrganizationsComplex Adaptive OrganisationComplexity of KnowledgeDeviant BehaviourEvidenceKnowing in MedicineKnowledge Transfer

Identifiers

PMID29764109
PMCPMC5953528
OpenAlexW2762508608

What OpenQuestion holds

Textmetadata
LicenceCC BY
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.